When mechanical equipment breaks down under actual working conditions, time domain waveform is blurred by noise, which leads difficulty to acquire useful information. Aiming at this problem, an approach vibration signal analysis using quantum probability proposed process of signal. By use superior information processing properties theory, different states hidden in sampled points are expressed....

Reinforced masonry constructions and their elements must meet strength stability requirements. These conditions determine wall structure safety during construction operation. Safety depends on diagnostically aimed tests that check the objects’ quality or locate damages to structural arise This article is focused experimental modal analysis research of reinforcement ceramic elements. The aim was...

SOUND AND VIBRATION/NOVEMBER 2002 A brief overview is given of transport airplane ground vibration testing (GVT) at Boeing Commercial Airplane Group. A GVT is a modal test conducted for the purpose of validating and improving a structural dynamic model of the airplane. A “small signal” model is quickly and conveniently identified from multi-input burst random excitation. Sine excitation is used...

Self-mixing interferometer is a suitable tool for implementing industrial sensors, with the advantages of optical techniques, such as high accuracy and contactless operation, but at potential very-low cost. This paper describes some techniques recently developed for realizing vibration measurements, based on different signal elaborations and with different performances and applications. Particu...

A nanogenerator (NG) is a device that converts vibration energy into electricity. Here, a flexible, small size and lightweight NG is successfully demonstrated as an active sensor for detecting the vibration spectrum of a drum membrane without the use of an external power source. The output current/voltage signal of the NG is a direct measure of the strain of the local vibrating drum membrane th...

Abstract Based on the chosen properties of an induction motor, a random forest (RF) classifier, machine learning technique, is examined in this study for bearing failure detection. A time-varying actual dataset with four distinct states was used to evaluate suggested methodology. The primary objective research defect detection accuracy RF classifier. First, run loops that cycle over each featur...